All Sensors

Map

Inactive Sensors

Performance

Data Exploration

State Overview

About

All Sensors

This will give us an overview of the low-cost(Purple Air) sensors networks across India & specificlaly over Indo-Gangetic Plain. We can look into the air quality data based on the solutions(projects) like SAMOSA, NASA, UTN or by sensor names. We can further filter based on city, district or state. We can find the number of sensors under each project & also download in .csv, .xlsx or .pdf format.

Map

The map provides an interactive interface to view the distribution of low-cost sensors network across India. The AQI is based on average PM2.5 (Indian standards) in last 1 day. We can also click any sensor unit to get brief information about that specific sensor.

Inactive Sensors

This gives us the list of sensor units that are inactive since last 24 hours.

Performance Metrics

Purple Air sensors have two channels,Channel A & Channel B. This provides hourly aggregated R2 (coefficient of determination) and RMSE(Root Mean Square Error) among the 2 channels of each sensor unit for last 30 days. Observations provides the number of values for last 30 days for a sensor. The total number should equals 720 (Hour*days, [24*30]). We can easily filter based on their values to see how the sensors have performed over last 30 days.

Data Exploration

In Data exploration; one can look at the time series of a sensor or multiple sensors in last one month. The time series takes the average of Channel A and Chanel B PM2.5 concentrations. Scatter plot helps you to look at how different Channel of a sensors are performing. In QA QC check box 0 is to see bad data and 1 to see data after performing basic QA QC. This will help you to diagnose if any channel is not performing properly. Use Performance metrics and Data Exportation tab together for insights.

State Overview

This part allows to compare the sensor units in districts and states through Box plot . Note that we have filter the Sensors with RMSE less than 20. Double click on the State legend to see the box plot for a specific state. Also, we can add different states by clicking on State legend.

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